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107 Diamondpick Jobs

Sr Data Engineer/Kapil/Veera/8 To 10 Years

1-4 years

Hyderabad / Secunderabad

1 vacancy

Sr Data Engineer/Kapil/Veera/8 To 10 Years

Diamondpick

posted 6d ago

Job Description

Job Summary:

We are seeking a highly skilled and experienced Databricks Engineer to lead the development and implementation of advanced data solutions. The successful candidate will play a pivotal role in our data engineering team, designing and managing data pipelines and leveraging tools like Databricks, Delta Live Tables, Snowflake, and the Medallion Architecture.

Key Responsibilities

Data Pipeline Design and Development:

  • Architect, build, and maintain Medallion Architecture-based data pipelines using Databricks.
  • Handle raw data ingestion using Delta Live Tables, ensuring data quality and low access latency.

Data Management:

  • Manage complex data and metadata changes within the Databricks environment.
  • Utilize expertise in Snowflake to provide insights into data warehousing and management practices.

Collaboration and Implementation:

  • Work closely with data architects to align Databricks solutions with organizational objectives.
  • Collaborate with data science teams to implement complex statistical models.

Security and Compliance:

  • Ensure data security and regulatory compliance in Databricks and Snowflake environments.

Automation and Performance:

  • Develop and deploy ETL workflows emphasizing automation and scalability.
  • Optimize performance, troubleshoot issues, and debug within the Databricks platform.

Continuous Learning:

  • Stay updated on industry best practices and emerging trends in Databricks technologies.
Requirements
  • Education:
  • Bachelor s degree in Computer Science, Information Technology, or a related field.
  • Experience and Expertise:
  • Minimum 8 years of experience in Databricks platform and data engineering.
  • Expertise in Delta Live Tables and implementing Medallion Architecture in a data lake environment.
  • Proficiency in Snowflake for data warehousing.
  • Strong understanding of ETL workflows and data pipeline automation.
  • Deep knowledge of data structures, data modeling, and database schemas.
  • Technical Skills:
  • Highly proficient in SQL, Python, or Scala.
  • Experienced in performance tuning, troubleshooting, and debugging in Databricks.
  • Soft Skills:
  • Outstanding problem-solving abilities with an innovative approach to complex challenges.
  • Exceptional communication skills, with the ability to bridge gaps between technical and non-technical stakeholders.
  • Proactive, collaborative, and passionate about data technologies.

Employment Type: Full Time, Permanent

Read full job description

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